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An Approach of Ranking Synonym Extracting Results Based on Directed Graph
Received date: 2015-05-14
Revised date: 2015-05-25
Online published: 2015-06-20
[Purpose/significance] There is lots of noise in the results extracted by current synonym extraction methods. It needs high artificial cost to remove noise. An approach is proposed to rank synonym extracting results which can make synonyms ahead of noises, and enhance the extraction accuracy and reduce the manual cost. [Method/process] It transforms the extracting results into a directed graph of extracting relation. The semantic similarity between each unit in the result and the word (or phrase) is calculated based on the directed graph, and the units in the result are ranked by semantic similarity. The approach just uses the existing synonym extracting method with no any human involvement and other semantic knowledge. [Result/conclusion] The experiments conducted on the real dataset show that the ranking effectiveness is getting better as the size of the extracting result increases.
Key words： synonym; information extraction; noise cleaning; result ranking
Liu Wei . An Approach of Ranking Synonym Extracting Results Based on Directed Graph[J]. Library and Information Service, 2015 , 59(12) : 128 -134 . DOI: 10.13266/j.issn.0252-3116.2015.12.019
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